Related references
Note: Only part of the references are listed.The Application of Directed Hyper-Graphs for Analysis of Models of Information Systems
Balint Molnar et al.
MATHEMATICS (2022)
An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics
Alexander Jung et al.
MATHEMATICS (2022)
A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds
Mehboob Hussain et al.
APPLIED SOFT COMPUTING (2022)
Implementation of ANN and GA on building with PCM at various setpoints, PCM types, and installation locations to boost energy saving and CO2 saving
Salman Abbasian-Naghneh et al.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2022)
Evolutionary Multi-Objective Workflow Scheduling for Volatile Resources in the Cloud
Thanh-Phuong Pham et al.
IEEE TRANSACTIONS ON CLOUD COMPUTING (2022)
Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment
Huangke Chen et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2021)
Cost and makespan scheduling of workflows in clouds using list multiobjective optimization technique
Pengcheng Han et al.
JOURNAL OF SYSTEMS ARCHITECTURE (2021)
Towards decomposition based multi-objective workflow scheduling for big data processing in clouds
Emmanuel Bugingo et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)
Multi-objective workflow scheduling scheme: a multi-criteria decision making approach
Madhu Sudan Kumar et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
Bilal H. Abed-alguni et al.
APPLIED SOFT COMPUTING (2021)
Energy and Cost-Aware Workflow Scheduling in Cloud Computing Data Centers Using a Multi-objective Optimization Algorithm
Ali Mohammadzadeh et al.
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT (2021)
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
Huangke Chen et al.
INFORMATION SCIENCES (2020)
Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
Goshgar Ismayilov et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows
Quanwang Wu et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)
Multi-objective scheduling of extreme data scientific workflows in Fog
Vincenzo De Maio et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review
Mehdi Hosseinzadeh et al.
JOURNAL OF GRID COMPUTING (2020)
Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
Carlos A. Coello Coello et al.
COMPLEX & INTELLIGENT SYSTEMS (2020)
Scheduling Scientific Workflow Using Multi-Objective Algorithm With Fuzzy Resource Utilization in Multi-Cloud Environment
Mazen Farid et al.
IEEE ACCESS (2020)
Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds
Huangke Chen et al.
IEEE TRANSACTIONS ON BIG DATA (2020)
Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
Zong-Gan Chen et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT
Xiumin Zhou et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing
Anubhav Choudhary et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Developing User Perceived Value Based Pricing Models for Cloud Markets
Peijin Cong et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2018)
An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds
Miao Zhang et al.
DISTRIBUTED AND PARALLEL DATABASES (2018)
A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments
Maria Alejandra Rodriguez et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2017)
User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm
Xin Ye et al.
KNOWLEDGE-BASED SYSTEMS (2017)
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
Ran Cheng et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)
Evolutionary Multi-Objective Workflow Scheduling in Cloud
Zhaomeng Zhu et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2016)
Towards workflow scheduling in cloud computing: A comprehensive analysis
Mohammad Masdari et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches
Zhi-Hui Zhan et al.
ACM COMPUTING SURVEYS (2015)
Many-Objective Evolutionary Algorithms: A Survey
Bingdong Li et al.
ACM COMPUTING SURVEYS (2015)
Multi-objective energy-efficient workflow scheduling using list-based heuristics
Juan J. Durillo et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2014)
Meeting Deadlines of Scientific Workflows in Public Clouds with Tasks Replication
Rodrigo N. Calheiros et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2014)
Multi-objective list scheduling of workflow applications in distributed computing infrastructures
Hamid Mohammadi Fard et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2014)
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Johannes Bader et al.
EVOLUTIONARY COMPUTATION (2011)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)